xlm-roberta-base-squad-pt

This model is a fine-tuned version of xlm-roberta-base on the squad_v1_pt dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• distributed_type: tpu
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

• "epoch": 3.0,
• "eval_exact_match": 44.45600756859035,
• "eval_f1": 57.37953911779836,
• "eval_samples": 11095

Framework versions

• Transformers 4.21.0.dev0
• Pytorch 1.9.0+cu102
• Datasets 2.3.2
• Tokenizers 0.12.1